Top Artificial Intelligence Software Engineer Jobs

Lead and mentor a cross-functional engineering team with emphasis on backend architecture, PostgreSQL database design, API development and optimization, scalable distributed systems, code quality, and operational excellence. Collaborate with product and frontend teams to define requirements, prioritize work in an Agile setting, and drive performance and scalability improvements.

Lead architecture and rewrites for a scalable, resilient AI-first platform. Own backend systems, data storage performance, deployment pipelines, cloud infrastructure via IaC, observability, incident response, and analytics. Mentor engineers and enable rapid customer onboarding and AI-driven automation.

Design and implement polished, production-ready front-end experiences and design systems in code. Build UI across chat, voice, copilots, and agentic workflows, improve tooling and prototyping, ensure accessibility, performance, and visual quality, and collaborate closely with design and engineering to turn prototypes into shipped products.

Lead technical vision and architecture for cross-platform, high-performance software supporting AI/ML and sensor fusion. Design and implement C++ applications, own core libraries, set engineering standards, mentor engineers, oversee code quality, collaborate with product, data science, and hardware teams, and estimate and deliver major projects.

Join Midstream as a Software Engineer to develop an AI-native financial operating system for healthcare, focusing on SaaS platform, API development, and ML solutions.

Develop and maintain API services and a scraping automation engine, collaborating with engineers, designers, and product managers. Adapt to changing requirements.

The role involves building and maintaining healthcare EMR software integrations, implementing monitoring systems, and developing scalable integration frameworks. Requires direct client interaction and innovative problem-solving.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Engineering Manager will drive the growth of the engineering team, overseeing product development, architectural decisions, and integration of emerging technologies in web3.

The role involves converting Python research models into C++ for high-performance trading systems, backtesting, and collaborating with research teams to enhance trading strategies.